Leveraging OpenSPL for Financial Risk Computation

Track:

Hot Technologies behind Modern Finance

Time:

Wednesday, 4:15pm - 5:05pm

Abstract:

Across all industries, there is a drive to process information in less time, with greater predictability and with higher efficiency. As the datasets and scenarios continue to grow, data doesn't only become big, it gets heavy, which increases the need to discover methods for higher degrees of parallelism without sacrificing time to market. Beyond software solutions, Finance is increasingly turning to hardware acceleration, but this poses additional challenges in terms of portability and flexibility. During this session we will explore the use of the dataflow computing language OpenSPL and its use in FPGAs for computational finance methods. Through example, this session will provide an overview of the language and expose you to the natural parallelism of dataflow computing using some well-known risk management algorithms like Black Scholes, SPAN and Value at Risk.

No Video from this talk will be available for download, after request of the speaker

Ryan Eavy

Ryan Eavy leads the Emerging Technology function as part of the Enterprise Architecture team at the CME Group. He is responsible for ensuring the company's technology is aligned with the business strategy through application research and development, technical solution assessment and systems roadmap. Prior to assuming his current role, he most recently served as a Senior Application and Security Architect for the Chicago Board of Trade where he helped implement the electronic trading platform e-CBOT. Ryan has implemented many enterprise class systems for the financial, telecom and government sectors and has a passion for disruptive technologies. He graduated from the University of Michigan with a B.S. in Computer Science.